Mechanical equipment fault on-line diagnostic equipment and method

Abstract

The invention relates to a device for fault diagnosis of mechanical equipment and a method thereof, particularly to a device for the online fault diagnosis when the mechanical equipment is operating and a method thereof. The technical scheme of the invention comprises: collecting a vibrating signal of a bearing seat and a shaft of a monitored device under the control of a complex programmable logic device (5), computing the correlation dimension of the signal by a digital signal processing chip (7) and analyzing the locus of journal center, collecting the temperature signal of the bearing seat under the control of a microprocessor (15), performing fast and reliable data exchange between the digital signal processing chip and the microprocessor through a twin port random access memory (9), judging the operating state of the equipment according to the amplitude of each signal, and alarming when a preset limit is exceeded, diagnosing the fault of the equipment according to the correlation dimension and the locus of journal center. Due to the adopted embedded computer structure, the invention has small volume, low power consumption and high reliability, thereby being suitable for installation and application on the industrial field, wherein the fault diagnosis of the equipment for one time can be completed in five seconds. The invention real-timely provides enough information about the state of the equipment for the users.

Description

Technical field: [0001] The invention relates to a device and method for fault diagnosis of mechanical equipment, in particular to a device and method for online fault diagnosis when the mechanical equipment is running. Background technique: [0002] The performance of mechanical equipment will gradually deteriorate during operation, and failures will occur under certain conditions. The analysis and early prediction of the causes of these failures are very important to ensure the smooth progress of industrial production. At present, the fault diagnosis of mechanical equipment is generally implemented by general-purpose computers. The problems are large volume, high power consumption, and poor anti-interference performance, which are not suitable for installation in industrial sites; in addition, its calculation speed is difficult to meet the requirements of real-time fault diagnosis. , It takes at least 1 to 2 minutes to complete a fault diagnosis with a general-purpose comp...

AI Technical Summary

Problems solved by technology

At present, the fault diagnosis of mechanical equipment is generally implemented by general-purpose computers. The problems are large volume, high power consumption, and poor anti-interference performance, which are not suitable for installation in industrial sites; in addition, its calculation speed is difficult to meet the requirements of real-time fault diagnosis. It takes at least 1 to 2 minutes to complete a fault diagnosis with a general-purpose computer device, which cannot ensure the safe and reliable operation of mechanical equipment in time

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